Go to file
2021-05-30 22:51:33 +02:00
.ipynb_checkpoints Add script for zadanie 5 2021-04-25 21:38:20 +02:00
Dockerfile Add MLflow 2021-05-16 22:25:46 +02:00
env_conda.yaml Add conda env 2021-05-30 22:51:33 +02:00
ium_zadanie1.py Add script for zadanie 5 2021-04-25 21:38:20 +02:00
ium_zadanie5.py Add script for zadanie 5 2021-04-25 21:38:20 +02:00
ium_zadanie6_evaluation.py Update 'ium_zadanie6_evaluation.py' 2021-05-16 11:30:13 +02:00
ium_zadanie6_training.py Fix lr 2021-05-16 22:54:11 +02:00
ium_zadanie8.py Add MLflow 2021-05-16 22:25:46 +02:00
jenkins_script.sh Add script for zadanie 3.6 2021-03-28 17:40:07 +02:00
jenkins_stats_script.sh Add script and Jenkinsfile for zadanie 3.8 2021-03-28 18:06:21 +02:00
Jenkinsfile Add MLflow 2021-05-16 22:25:46 +02:00
Jenkinsfile_evaluation Add email posting to Jenkinsfile 2021-05-16 13:39:22 +02:00
Jenkinsfile_stats Revert to before test Jenkinsfile 2021-04-11 20:55:02 +02:00
Jenkinsfile_training Add email posting to Jenkinsfile 2021-05-16 13:39:22 +02:00
MLproject Add MLflow 2021-05-16 22:25:46 +02:00
README.md Update README 2021-04-11 12:37:25 +02:00
run_evaluation.sh Update for Zadanie 6.2 - evaluation 2021-05-02 22:20:05 +02:00
run_training.sh Update 'run_training.sh' 2021-05-15 16:35:46 +02:00
run.sh Update for Zadanie 6.2 - create_dataset 2021-05-02 16:42:18 +02:00

Inżynieria Uczenia Maszynowego Dataset: https://www.kaggle.com/eugenioscionti/scraping-rotten-tomatoes-to-enrich-netflix-dataset ium_zadanie1.py - python script for Zadanie 1 run.sh - bash script with dataset download from kaggle and running ium_zadanie1.py

Jenkinsfile - Jenkinsfile for classes 3 - create-Dataset Jenkinsfile-stats - Jenkinsfile for classes 3 - dataset-stats

Dockerfile - Dockerfile for classes 4